On distributed detection with correlated local detectors

Moshe Kam, Qiang Zhu, W. Steven Gray

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently, Z. Chair and P. R. Varshney (1986) have solved the data fusion problem for n fixed binary local detectors with statistically independent decisions. Their solution is generalized by using the Bahadur-Lazarfeld expansion of probability density functions. The optimal data fusion rule is developed for correlated local binary decisions, in terms of the conditional correlation coefficients of order 1, 2, ..., n. It is shown that when all these coefficients are zero, the rule coincides with the original Chair-Varshney design.

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
Editors Anon
PublisherPubl by American Automatic Control Council
Pages2174-2175
Number of pages2
Volume3
ISBN (Print)0879425652
StatePublished - Dec 1 1991
Externally publishedYes
EventProceedings of the 1991 American Control Conference - Boston, MA, USA
Duration: Jun 26 1991Jun 28 1991

Other

OtherProceedings of the 1991 American Control Conference
CityBoston, MA, USA
Period6/26/916/28/91

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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